דרושים Systems Analyst ב-United States

What you’ll be doing:

• Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.

• Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.

• Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.

• Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.

• Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.

What we need to see:

• 12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.

• Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.

• Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.

• Define new processes and analytics as well as influence business decisions.

• Ability to improve and streamline manual processes and drive efficiency.

• Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.

Ways to stand out from the crowd:

• Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.

• Experience collaborating across a large organization to influence change.

• Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.

• Creative and innovative leader with a positive approach and a focus on business solutions.

• Experience with SAP, SFDC, Tableau and BI Tools applications.

What you’ll be doing:

• Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.

• Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.

• Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.

• Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.

• Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.

• Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.

What we need to see:

• Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.

• 5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.

• Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.

• Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).

• Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.

Ways to stand out from the crowd:

• Semiconductor and/or manufacturing experience in tech.

• Genuine curiosity in STEM and eagerness to learn new things.

• Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.

What You’ll Be Doing:

• Lead and manage aspects of silicon business operations, including wafer and advance packaging supply chain management, capacity, pricing, and contract negotiations, product roadmap influence, and relationship management. Help shape and influence our production process decisions to ensure flawless execution and world-class results.

• Assist with business negotiations including preparation of RFQs for product tape out awards, pricing, capacity allocations, and other key business drivers.

• Assist the business team, ensuring they are equipped to meet our operational goals and respond to challenges with agility.

• Thrive in problem-solving and react swiftly to issues, maintaining the seamless flow of operations in a dynamic environment.

• Influence upper management by highlighting competitive technologies, ensuring timely decisions that support our business objectives.

• Partner with suppliers to secure expedites, supporting new product ramps and mitigating urgent shortages.

• Resolve capacity constraints by collaborating with suppliers, internal planning, and engineering teams, ensuring smooth operations and minimal disruptions.

• Work closely with the BU, Engineering, and Ops teams on advance packaging roadmaps and production ramps, aligning efforts to mitigate potential risks and ensure successful product launches.

• Manage foundry partner relationships and be a key individual to initiate/handle escalations.

What We Need to See:

• Equivalent experience in Engineering, preferably Electrical, Mechanical, or Chemical Engineering, will be considered in lieu of a Bachelor’s degree. An advanced degree or equivalent is a plus. A strong technical foundation will provide the vital expertise for this role.

• MBA or demonstrated financial expertise through proven experience. Ability to apply financial principles will be invaluable in driving efficiency and cost reduction.

• 15+ yrs of relevant experience in semiconductor operations, with a preference for fab environments (e.g., TSMC, UMC). Previous experience in the semiconductor industry will ensure a smooth transition into this role. Knowledge of advanced packaging processes is a major plus.

• Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

• Strong leadership and team management skills, with a record of successfully leading cross-functional teams. Encouraging and motivating teams will be critical in achieving our goals.

• Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with individuals both inside and outside the organization. An ability to connect with others will be key in building and sustaining successful partnerships.

• Expertise in supply chain management, production planning, and logistics within the semiconductor industry. Possessing a deep understanding of these areas is crucial for improving our operations.

Ways to stand out from the crowd:

• Familiarity with collaborator companies in semiconductor manufacturing. Existing relationships will provide a strong foundation for success in this role.

• Forward-thinking with the ability to plan for future opportunities. Proactive approaches will help us prepare for upcoming developments in our operations.

• Strong project management and negotiation skills. Ability to manage projects and negotiate agreements effectively will be highly valued.

• Familiarity with industry trends, market conditions, and competitive landscape.

• Consistent track record of driving operational excellence and continuous improvement. A sustained history of delivering outstanding results will set you apart.

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

• Design, build, deploy, and improve highly scalable systems

• Translate high-level requirements into actionable plans/deliverables

• Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

• Convert legacy codebases into modern powerhouses infused with industry best-practices

• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

• B.S. CS/EE (or equivalent experience)

• 5+ years developing large-scale software applications in Go and Python

• Solid computer science fundamentals in algorithms/datastructures/complexityanalyses

• Understand processes, synchronization, locks, concurrency, and load-balancing

• Excellent grasp of distributed systems and compute abstractions

• Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

• 5+ years in an enterprise engineering environment, shipping at scale

• Experience in partitioning and optimizing complex interconnected systems

• Understand filesystems, job-scheduling, and inter-process signaling

• Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

• Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively

What you'll be doing:

• Building and maintaining infrastructure from first principles needed to deliver TensorRT LLM

• Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc

• Enable performing scans and handling of security CVEs for infrastructure components

• Improve the modularity of our build systems using CMake

• Use AI to help build automated triaging workflows

• Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components is essential to ensuring seamless deployment and inference of deep learning models on our platform.

What we need to see:

• Masters degree or equivalent experience

• 3+ years of experience in Computer Science, computer architecture, or related field

• Ability to work in a fast-paced, agile team environment

• Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design.

• Experience with CMake.

• Background with Security best practices for releasing libraries.

• Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms. Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise.

• Highly skilled in Kubernetes and Docker/containerd. Automation expert with hands-on skills in frameworks like Ansible & Terraform. Experience in AWS, Azure or GCP

Ways to stand out from the crowd:

• Experience contributing to a large open-source deep learning community - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

• Experience in defining and leading the DevOps strategy (design patterns, reliability and scaling) for a team or organization.

• Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements.

• Deep understanding of test automation infrastructure, framework and test analysis.

• Excellent problem solving abilities spanning multiple software (storage systems, kernels and containers) as well as collaborating within an agile team environment to prioritize deep learning-specific features and capabilities within Triton Inference Server, employing advanced troubleshooting and debugging techniques to resolve complex technical issues.

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

• Design, build, deploy, and improve highly scalable systems

• Translate high-level requirements into actionable plans/deliverables

• Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

• Convert legacy codebases into modern powerhouses infused with industry best-practices

• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

• B.S. CS/EE (or equivalent experience)

• 5+ years developing large-scale software applications in Go and Python

• Solid computer science fundamentals in algorithms/datastructures/complexityanalyses

• Understand processes, synchronization, locks, concurrency, and load-balancing

• Excellent grasp of distributed systems and compute abstractions

• Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

• 5+ years in an enterprise engineering environment, shipping at scale

• Experience in partitioning and optimizing complex interconnected systems

• Understand filesystems, job-scheduling, and inter-process signaling

• Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

• Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively